The Effects of Model Based Missing Data Methods on Guessing Parameter in Case of Ignorable Missing Data

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dc.authorid0000-0003-3211-0426
dc.contributor.authorKocak, Duygu
dc.date.accessioned2026-01-24T12:29:12Z
dc.date.available2026-01-24T12:29:12Z
dc.date.issued2018
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThe present study aims to investigate the effects of model based missing data methods on guessing parameter in case of ignorable missing data. For this purpose, data based on Item Response Theory with 3 parameters logistic model were created in sample sizes of 500, 1000 and 3000; and then, missing values at random and missing values at completely random were created in ratios of 2.00%, 5.00% and 10.00%. These missing values were completed using expectation-maximization (EM) algorithm and multiple imputation methods. It was concluded that the performance of EM algorithm and multiple imputation methods was efficient depending on the rate of missing values on the data sets with missing values completely at random. When the missing value rate was 2.00%, both methods performed well in all sample sizes; however, they moved away from reference point as the number of missing values increased. On the other hand, it was also found that when the sample size was 3000, the cuts were closer to reference point even when the number of missing values was high. As for missing values at random mechanism, it was observed that both methods performed efficiently on guessing parameter when the number of missing values was low. Yet, this performance deteriorated considerably as the number of missing values increased. Both EM algorithm and multiple imputation methods did not perform effectively on guessing parameter in missing values at random mechanism.
dc.identifier.doi10.14527/pegegog.2018.007
dc.identifier.endpage171
dc.identifier.issn2148-239X
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85038027017
dc.identifier.scopusqualityQ4
dc.identifier.startpage155
dc.identifier.urihttps://doi.org/10.14527/pegegog.2018.007
dc.identifier.urihttps://hdl.handle.net/20.500.12868/5199
dc.identifier.volume8
dc.identifier.wosWOS:000431831600008
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPegem Akad Yayincilik Egitim Danismanlik Hizmetleri Tic Ltd Sti
dc.relation.ispartofPegem Egitim Ve Ogretim Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260121
dc.subjectGuessing parameter
dc.subjectGuessing success
dc.subjectItem response theory
dc.subjectMissing values
dc.subjectIgnorable missing data
dc.titleThe Effects of Model Based Missing Data Methods on Guessing Parameter in Case of Ignorable Missing Data
dc.typeArticle

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